Springboard+ Diploma in Data Analytics for Business (September 2024)|Funded*|
Company Information
CCT College Dublin
Category

Data Analysis | Big Data

Location

CCT College Dublin 30-34 Westmoreland Street Dublin 2   Dublin 

Awarding Body

Level 7 60 ECTS Credits

Duration

1 year two evenings per week 5.45-9.45pm + some Saturday classes.

Start Date

16/09/2024

Email

info@cct.ie

Phone

+353 1 6333444

Description

The Diploma in Data Analytics for Business is designed for learners seeking to develop their knowledge, skills and competence in the area of Data Analytics. This special purpose programme is designed to produce learners with the attributes required of Data Analysts today and the ability to continue to develop knowledge, skills and competence to remain competitive and employable in an ever-advancing sector. Learners will engage with the opportunity to assimilate knowledge within an industry focused learning environment. This focus is maintained through the use of many practical sessions including labs and workshops.


Participants on this part-time programme will comprise professionals and graduates from all sectors of the economy who require upskilling due to the accelerated pace of economic digital transformation as well as those who are unemployed and those returning to the workforce.


The design and development of the programme has been informed by consultation with members of the CCT College Dublin Industry Engagement Forum (IEF), who have endorsed the programme content as fulfilling enterprise demand for the programme across all sectors of the economy. As a result of the ability of business to automate their data processing related tasks, we will continue to see an increase in demand for people across all business functions who can apply analytics processes to increasingly large datasets.


The programme utilises a carefully designed programme schedule with modules focused on data analysis topics. The design and development of modules within this programme were informed by significant industry consultation. The programme comprises of classroom and laboratory learning as well as problems which will be provided by our industry contacts and used as the context for planning and designing assessment solutions, as well as being an aid for problem-solving sessions. The incorporated learning from all modules aims to ready learners for industry and/or further academic development.


In addition to the data analytics and associated technical skills, which will be fostered during the participants studies, transferable skills that will be developed throughout the programme via the varied teaching and assessment methods include: critical analysis, advanced evaluation, self-analysis and personal reflection, problem solving, communication skills, written communication skills, team management and group-work and professionalism.


The Diploma in Data Analytics for Business is flexible in delivery with an innovative and integrated assessment. It is a one year, part time, Diploma programme and will be delivered on an evening/weekend predominantly online/blended basis. The programme leads to an award by QQI at Level 7 of the NFQ.

Other Information

Course Content

The programme aims to provide learners with a progression pathway to professional roles at entry or junior level in Data Analysis as well as the option to further their education in the area of Data Analytics. It also aims to provide graduates with the ability to advance their IT career by attaining a qualification which enables them to secure industry entry-level positions, or further advancement within their current sphere. Students on the programme will be provided with an environment conducive with personal development established through the use of peer learning, mentoring and formative feedback, thus allowing them to acquire new knowledge and the ability to seek guidance. In addition to the data analytics and associated technical skills, which will be fostered during the participants studies, transferable skills that will be developed throughout the programme via the varied teaching and assessment methods include: critical analysis, advanced evaluation, self-analysis and personal reflection, problem solving, communication skills, written communication skills, team management and group-work and professionalism.

Entry Requirements

Entry can be sought through one of the following routes:


a. Evidence of prior learning, including experiential learning,


or


b. possession of a minimum NFQ level 5 award, including leaving certificate, FET award, or equivalent.


In addition, all applicants must evidence competence in mathematics equivalent to H5 in t

Learning Outcomes

The programme utilises a carefully designed programme schedule with modules focused on data analysis topics. The design and development of modules within this programme were informed by significant industry consultation. The programme comprises of classroom and laboratory learning as well as problems which will be provided by our industry contacts and used as the context for planning and designing assessment solutions, as well as being an aid for problem-solving sessions. The incorporated learning from all modules aims to ready learners for industry and/or further academic development.


The programme aims to provide learners with a progression pathway to professional roles at entry or junior level in Data Analysis as well as the option to further their education in the area of Data Analytics. It also aims to provide graduates with the ability to advance their IT career by attaining a qualification which enables them to secure industry entry-level positions, or further advancement within their current sphere. Students on the programme will be provided with an environment conducive with personal development established through the use of peer learning, mentoring and formative feedback, thus allowing them to acquire new knowledge and the ability to seek guidance.


Modules:

- Digital Transversal Skills

- Introduction to Programming for Data Analytics

- Fundamentals of Statistics for Data Analytics

- Machine Learning I

- Data Exploration and Preparation

- Data Visualisation and Communication

- Machine Learning II

- Analytical Methods for Big Data

- Strategic Business IT


In addition to the data analytics and associated technical skills, which will be fostered during the participants studies, transferable skills that will be developed throughout the programme via the varied teaching and assessment methods include: critical analysis, advanced evaluation, self-analysis and personal reflection, problem solving, communication skills, written communication skills, team management and group-work and professionalism.


The Diploma in Data Analytics for Business is flexible in delivery with an innovative and integrated assessment. It is a one year, part time, Diploma programme and will be delivered on an evening/weekend predominantly online/blended basis. The programme leads to an award by QQI at Level 7 of the NFQ.

Company Information
CCT College Dublin
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